The deep learning computer algorithm achieved a best sleep/wake classification accuracy of 96.5%, and sleep episode on/offset detection F1 scores (measuring detection exactness and completeness) of 0.86 and 0.84 with mean errors of 5.0 and 5.5 min respectively, when compared to the labels based on human scored actigraphy with sleep diaries.
For each k, we evaluate the prediction accuracy through precision (a measure of exactness) and recall (a measure of completeness), combined into F-score.
There are two traditional accuracy measures that can provide insight into the accuracy of peak picking: the recall value or the measure of completeness, the ability to discover true peaks; and the precision value or the measure of exactness, the ability to reject false peaks.
"Show me the manner in which a nation cares for its dead, and I will measure with mathematical exactness the tender mercies of its people," William Gladstone, the British statesman, is said to have observed.
The spectral coverage and signal-to-noise to be achieved by EChO, thanks to its high stability and dedicated design, would be a game changer by allowing atmospheric composition to be measured with unparalleled exactness: at least a factor 10 more precise and a factor 10 to 1000 more accurate than current observations.
His invention of the ballistic pendulum, a device allowing the determination of the momentum of a projectile suddenly halted in its flight, enabled gunners for the first time to measure with considerable exactness the muzzle velocities of projectiles delivered by their pieces.
The recall rate is a measure of completeness, and the precision rate is a measure of exactness.
Precision can be defined as a measure of exactness i.e. if all the predicted labels for a given class X is given, how many instances were correctly classified.
It relates to the closeness of the test results to true values, that is, measure of exactness of analytical method.
The precision is a measure of exactness defined as the fraction of the correctly predicted voxels, (25) where # TP is the number of true positives and # TP+# FP is the total number of voxels with the same class labels.
This axiom means that the physical observation can be measured with an infinite exactness.
